Principal AI Scientist - Generative Models

Placements24; United States; Hybrid; USD 91,000 - 152,000; Full time

Benefits offered by this job

Hybrid work model

Relocation assistance

Stock options

Professional development budget

Job summary

Placements24 is seeking a Principal AI Scientist to lead cutting-edge generative AI research, focusing on GANs, VAEs, and large language models. The role guides a team of researchers and engineers, shaping the AI strategy and driving innovation.

The position requires a Ph.D. with 8+ years in AI R&D, strong Python and deep learning framework expertise, and a proven publication/patent record. Hybrid work with in-office collaboration is offered at our Randburg hub.

Qualifications

• PhD in Computer Science, AI, ML, or related field.
• 8+ years of relevant AI R&D experience in generative models.
• Proven publications and/or patents in the field.

Responsibilities

• Lead R&D in generative AI, focusing on GANs, VAEs, and LLMs.
• Design, implement, and optimize novel generative models across domains.
• Mentor researchers and engineers on the AI team.
• Collaborate with product and engineering to integrate models.
• Publish findings in top conferences and journals.
• Develop robust evaluation metrics for generative models.
• Contribute IP through patents and publications.
• Provide technical leadership and strategic direction.
• Oversee end-to-end lifecycle of generative AI projects.

Skills

Generative AI

GANs

VAEs

Transformers

Leadership

Python

Distributed training

Research publications

Education

PhD in Computer Science or related field

Tools

TensorFlow

PyTorch

Job description

About the Role

Our client is seeking a highly accomplished Principal AI Scientist with expertise in Generative Models to lead groundbreaking research and development efforts. This senior role involves architecting and implementing novel AI solutions that leverage the power of generative techniques, such as GANs and VAEs, for a wide range of applications. You will guide a team of talented researchers and engineers, pushing the boundaries of what's possible with AI. This position offers a hybrid work arrangement, allowing for both remote flexibility and essential in-office collaboration. We are looking for a visionary leader with a deep theoretical understanding and a proven track record of innovation in generative AI. The successful candidate will play a pivotal role in shaping our client's future AI strategy and driving significant technological advancements. The Randburg, Gauteng, ZA location provides a strategic base for our client's innovation hub.

Key Responsibilities

• Lead research and development in generative AI, focusing on models like GANs, VAEs, and large language models.
• Design, implement, and optimize novel generative models for various domains (e.g., image synthesis, text generation, data augmentation).
• Mentor and guide junior scientists and engineers in the AI team.
• Collaborate with product and engineering teams to integrate generative models into client offerings.
• Stay at the forefront of academic research and industry trends in generative AI.
• Publish research findings in top-tier conferences and journals.
• Develop robust evaluation metrics and methodologies for generative models.
• Contribute to intellectual property development through patents and publications.
• Provide technical leadership and strategic direction for AI initiatives.
• Oversee the end-to-end development lifecycle of generative AI projects.

Requirements

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 8+ years of relevant research and development experience in AI, with a strong focus on generative models.
• Proven track record of impactful research, demonstrated through publications and/or patents.
• Expertise in Python programming and deep learning frameworks (TensorFlow, PyTorch).
• Deep understanding of generative adversarial networks (GANs), variational autoencoders (VAEs), transformers, and other generative architectures.
• Experience with large-scale data processing and distributed training environments.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent leadership, communication, and collaboration abilities.
• Ability to work effectively in a hybrid team environment.
• Experience with cloud AI platforms is a plus.

Benefits

• Highly competitive salary and significant bonus potential.
• Comprehensive medical, dental, and vision insurance.
• Hybrid work model offering a balance of flexibility and collaboration.
• Generous professional development budget for conferences and training.
• Stock options and performance-based equity grants.
• Retirement savings plan with employer matching.
• Relocation assistance for qualified candidates.
• Opportunities for career advancement and leadership roles.
• State-of-the-art research facilities and computing resources.
• Vibrant company culture with regular team events.